STEP BY STEP
The workflow
1
Upload the source PDF and pick target languages
Drop in the English handbook, select Spanish, French, German, Japanese, and Portuguese (or any 90+ supported). Set tone to 'formal' for HR documents.
2
Provide a glossary for protected terms
Brand names, role titles, and product codes shouldn't be translated. Upload a CSV with English/native pairs so each language version uses the right canonical names.
3
Bundle as a multilingual handbook
Optional: merge all 5 outputs into one PDF with a language-selector cover page. Useful when distribution is one file per region rather than one file per language.
WHY IT MATTERS
The case for doing this
Localization is one of the biggest hidden costs in scaling globally. Manual translation by an agency runs $0.10-0.25 per word; 50 pages at 250 words/page is $1,250-3,000 per language. Layout-preserving machine translation cuts that to a fraction and gets you 95% of the quality. For a final regulated document you still want a human review, but for the 80% of internal docs, this is your tool.
COMMON MISTAKES
What to avoid
Trusting the translation for legal compliance docs
Privacy notices, employment contracts, safety warnings — these need a sworn translator's review in many jurisdictions. Use AI for the draft, human for the certification.
Mixing tones
If your source has casual sections ('Welcome to the team!') and formal sections ('You are required to...'), set the tone per section or the translation feels uneven.
Forgetting RTL languages need RTL layout
Arabic and Hebrew flip direction. Tables and bulleted lists need to be mirrored — we do this automatically but verify the output before distributing.
TIPS FOR THE BEST RESULTS
What works
Translate to 'pivot' language, then to target
For uncommon language pairs (e.g. Korean → Bengali), translate via English. Quality is higher than direct.
Have a native reviewer for each target
AI gets 95% right; the last 5% is cultural nuance only a native speaker catches. Pair the workflow with a 30-minute review per language.
Build a glossary as you go
Each translation reveals new terms that need protection. Update your glossary CSV after each pass — the next document gets better automatically.
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FAQ
Questions about this workflow
For mainstream language pairs (English ↔ Spanish/French/German/Japanese), it's roughly 95% accurate at the sentence level. For less common pairs it's 88-92%. Always review.
Try the workflow on a real PDF
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Start with step 1